We are looking for an experienced and highly-motivated Senior Analyst to join our Marketing Analytics team. You must have a strong background in data science, inference, automation, and experimentation, be able to communicate effectively with stakeholders, and have a passion for driving data-informed solutions.
Responsibilities:
- Develop data-driven insights to drive marketing decisions and improve business outcomes.
- Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques, etc., to measure marketing's impact across our suite of products.
- Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.
- Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns.
- Design a measurement approach and identify flaws in experiment practices and results, especially in 3P environments.
- Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps.
- Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.
- Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects.
- Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
- Optimize our marketing efforts and enable customer retention through push campaigns and other organic avenues.
- Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.
Minimum Requirements:
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
- MS in a quantitative field such as computer science, statistics, economics, math, or equivalent work experience + BS.
- 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
- Strong background in statistical analysis, programming, and experimentation.
- Proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Expertise in at least one scripting language (ideally Python/R), with experience building models in either language.
- Proficiency in SQL and Hive.
- Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership teams.
- Experience in querying and manipulating large data sets.
- Knowledge to translate quantitative findings into actionable insights and influence business decisions.
- Meaningful time as a data scientist partnering with business functions, ideally with Email/Push marketing teams, and having expertise in analyzing content.
- Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams.
- Ability to turn ambiguous questions and problems into clear deliverables and insights.
- Ability to make tradeoffs between speed and accuracy wisely.
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